Diego Silva

Using Temporal Convolutional Autoencoders for Sound-Based Fault Detection in Industrial Machinery

This work detects anomalies by introducing a feature engineering pipeline that structures univariate acoustic signals into sequential multivariate representations via Mel Frequency Cepstral Coefficients (MFCCs) and confirms the effectiveness of sequential reconstruction-based models for continuous machine operations wh...